About The Position

The Epic Business Intelligence Analyst (BI Analyst) is a senior-level data professional responsible for designing, developing, and delivering actionable insights across the organization using Epic Cogito tools and enterprise BI platforms. This role operates at the intersection of healthcare operations, data architecture, and analytics, translating complex business and clinical requirements into scalable reporting and dashboard solutions. Working in a fast-paced, innovative environment, the BI Analyst partners with clinical, financial, operational, and executive stakeholders to support data-informed decision-making. This includes leveraging Epic data structures (Caboodle, Clarity, SlicerDicer) alongside enterprise tools such as Power BI and SQL Server Reporting Services (SSRS). The BI Analyst plays a key role in the full lifecycle of data projects—requirements gathering, data modeling, development, validation, and deployment—while ensuring data accuracy, governance, and usability. This role also contributes to strategic analytics initiatives, including artificial intelligence, predictive modeling, and advanced analytics capabilities. Strong communication, technical expertise, and leadership skills are essential to effectively present insights, mentor team members, and drive continuous improvement in analytics delivery.

Requirements

  • Bachelor’s degree in Information Systems, Computer Science, Finance, or a related field (or equivalent experience)
  • 2+ years of experience with healthcare analytics, business intelligence, reporting, file transfers, ETL, or other Epic areas of competence
  • Experience integrating Epic analytics with enterprise BI and visualization platforms
  • Experience with ETL processes and large file transfers
  • Excellent verbal and written communication skills.
  • Excellent interpersonal and customer service skills.
  • Excellent organizational skills and attention to detail.
  • Excellent time management skills with proven ability to meet deadlines.
  • Proficient in Microsoft Office Suite

Nice To Haves

  • Active Epic certification preferred in one or more Epic reporting or analytics modules (Caboodle, Clarity, and Cogito)

Responsibilities

  • DESIGN, DEVELOP, AND MAINTAIN EPIC-BASED REPORTING SOLUTIONS USING CABOODLE, CLARITY, AND SLICERDICER.
  • BUILD AND OPTIMIZE DASHBOARDS, REPORTS, AND DATA EXTRACTS USING SQL, POWER BI, SSRS, AND OTHER BI TOOLS.
  • DEVELOP AND MAINTAIN DATA MODELS (RELATIONAL AND DIMENSIONAL).
  • ENSURE DATA INTEGRITY THROUGH RIGOROUS VALIDATION PROCESSES AND STAKEHOLDER SIGN-OFF.
  • COLLABORATE WITH STAKEHOLDERS ACROSS CLINICAL, FINANCIAL, AND OPERATIONAL DOMAINS TO GATHER AND DEFINE REQUIREMENTS.
  • TRANSLATE BUSINESS NEEDS INTO TECHNICAL SPECIFICATIONS AND SCALABLE DATA SOLUTIONS.
  • PRESENT DATA INSIGHTS, TRENDS, AND FINDINGS TO NON-TECHNICAL AUDIENCES IN A CLEAR AND ACTIONABLE MANNER.
  • PROVIDE CONSULTATIVE GUIDANCE ON BEST PRACTICES IN ANALYTICS, REPORTING, AND DATA USAGE.
  • EXPLORE AND IMPLEMENT EPIC TOOLS, SUCH AS NEBULA, AND OTHER EMERGING ANALYTICS TECHNOLOGIES.
  • IDENTIFY OPPORTUNITIES TO LEVERAGE DATA FOR OPERATIONAL IMPROVEMENT, QUALITY OUTCOMES, AND COST EFFICIENCY.
  • CONTINUOUSLY EVALUATE AND ADOPT NEW TOOLS, FEATURES, AND METHODOLOGIES TO ENHANCE BI CAPABILITIES.
  • PARTICIPATE IN STRATEGIC PLANNING, ANALYTICS ROADMAP DEVELOPMENT, AND ENTERPRISE DATA INITIATIVES.
  • MANAGE BI PROJECTS, INCLUDING PROJECT PLANS, TIMELINES, RESOURCE ALLOCATION, AND DELIVERABLES.
  • LEAD COMPLEX DATA INITIATIVES FROM CONCEPT THROUGH DEPLOYMENT, ENSURING ALIGNMENT WITH ORGANIZATIONAL GOALS.
  • FACILITATE MEETINGS, MANAGE STAKEHOLDER EXPECTATIONS, AND RESOLVE COMPETING PRIORITIES OR REQUIREMENTS.
  • MANAGE BI ANALYST/REPORTING TICKET QUEUES, INCLUDING TRIAGE, PRIORITIZATION, AND RESOLUTION OF INCIDENTS AND REQUESTS.
  • MAINTAIN AND ENHANCE A CENTRALIZED DATA CATALOG, INCLUDING DATA DEFINITIONS AND METADATA DOCUMENTATION.
  • ENSURE ADHERENCE TO DATA GOVERNANCE STANDARDS, INCLUDING DATA QUALITY, SECURITY, AND MASTER DATA MANAGEMENT.
  • CREATE AND MAINTAIN TECHNICAL DOCUMENTATION, DATA DICTIONARIES, AND END-USER TRAINING MATERIALS.
  • COLLABORATE WITH ANALYSTS, DEVELOPERS, AND INFORMATICS TEAMS TO DELIVER INTEGRATED DATA SOLUTIONS.
  • PROVIDE CONSTRUCTIVE FEEDBACK AND CONTRIBUTE TO A CULTURE OF CONTINUOUS IMPROVEMENT.
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